Frequently Asked Questions for Pandas
This Pandas test looks at candidates’ understanding and abilities in Data Structures, Data Indexing, and Slicing, Basic functions to view data, working with missing data, and combining Data. Pandas is a software library in the Python programming language that is commonly used for data analysis and manipulation. It provides tools and data structures for working with structured data, such as tables or data frames, and includes functions for reading and writing data from a variety of sources, such as CSV files, Excel sheets, and databases.
This test can help you identify individuals with prior experience in Python and pandas to perform data-wrangling techniques, Data Structures, Combining Data, and Data Indexing and Slicing.
- Data Analyst
- Data Scientists
- Data Structures
- Basic functions to view data
- Data Indexing and Slicing
- Working with missing data
- Combining Data
- Providing data structures for storing and manipulating data in the form of tables or data frames.
- Providing functions for reading and writing data from and to a variety of sources, such as CSV files, Excel sheets, and databases.
- Providing tools for cleaning and preparing data for analysis, including functions for handling missing values, duplicates, and other common data issues.
- Providing functions for performing statistical analysis and data visualization on structured data.